Deep Learning Framework with Time Series Analysis Methods for Runoff Prediction

Deep Learning Framework with Time Series Analysis Methods for Runoff Prediction

Recent advances in deep learning, especially the long short-term memory (LSTM) networks, provide some useful insights on how to tackle time series prediction problems, not to mention the development of a time series model itself for prediction. Runoff forecasting is a time series prediction problem...

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Bibliographic Details
Main Authors: Zhenghe Li, Ling Kang, Liwei Zhou, Modi Zhu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Water
Subjects:
deep learning framework
runoff prediction
time series analysis
seasonal trend decomposition
mutual information
LSTM
Online Access:https://www.mdpi.com/2073-4441/13/4/575

Internet

https://www.mdpi.com/2073-4441/13/4/575

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